公开记录
软件健康报告模式 0.34.0 · 指标 2.10.0 · 2026-09-08 15:28 UTC

bijux / bijux-proteomics

PythonApache-2.0★ 2 星标⑂ 0 复刻始于 2026年1月在 GitHub 上查看 ↗
类型命令行工具网络服务如何判定

bijux/bijux-proteomics 的健康指数为 100 分中的 65 分，处于「良好」区间。 其得分最高的类别是Engineering Quality（82/100），最低的是Community & Adoption（37/100）。 最近一次更新在 4 天前。 近期的大部分工作由 1 位贡献者完成。

65
总分 / 100
良好

软件健康指数

指标归入加权类别，统一采用 1–100 量表。总体分先取类别加权平均，再依据公开记录的分布进行校准，使各等级具有百分位含义；当公开证据触发高风险司法辖区政策时，评级会按政策调整，并设置 34（存在风险）的上限。

65
卓越93-100公开记录中的最高层级（约前 5%）；基本满足所有检验标准
优秀80-92各方面均表现强劲；仅有少量不足
良好65-79健康；不足之处有限且可控
中等50-64可接受，但存在明显不足；建议进行审查
薄弱35-49多个领域存在实质性薄弱环节
存在风险20-34存在重大薄弱环节；采用时应保持审慎
危急1-19问题严重（项目被弃置、仅有单一维护者、缺乏基本工程规范）
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形，而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

加权总体分 60 经校准后在公布的指数量表上为 65（记录校准 2026-08-02）。

所有权

Bijan Mousavi个人账户
3 关注者13 个公开仓库始于 2025年7月

该仓库由个人账户拥有。相较于组织支持的项目，单一所有者项目的延续性风险更高。

软件包生态系统

注册表软件包版本月下载量版本数最近发布标签
PyPIproteomics0.3.827169 天前bioinformaticscompatibilitypackagingproteomics
PyPIproteomics-lab0.3.815169 天前compatibilitylabpackagingproteomics
PyPIproteomics-core0.3.814169 天前bioinformaticscompatibilitypackagingproteomics
PyPIagentic-proteins0.3.8-1369 天前compatibilityforwardingmigrationproteomicsruntime
PyPIbijux-proteomics0.3.8-169 天前bioinformaticscompatibilitypackagingproteomics
PyPIproteomics-runtime0.3.8-169 天前compatibilitypackagingproteomicsruntime
PyPIbijux-proteomics-lab0.3.8-969 天前assay-operationsbioinformaticsexperiment-schedulinglab-planningproteomics

按类别列示的指标

活力

项目是否仍有生命——是否仍在编写代码，是否仍在发布版本？

80优秀 · 占总体的 21%

开发活跃度

74良好
评分方式
36/36推送新近度 — 最近一次推送于 4 天前
10.4/36提交节奏 — 52 周中有 15 周有提交
18/18提交量 — 最近一年 7,134 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year7,134
human_commit_share1
days_since_last_push4
active_weeks_last_year15

发布纪律

90优秀
评分方式
27/27有发布版本 — 已发布 5 个发布版本
36/36发布时效 — 最近一次发布版本于 69 天前
27/27发布节奏 — 约每 20.4 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — Project has not signed or included provenance with any releases.
所用输入
releases_count5
latest_release_tagv0.3.8
releases_from_tags否
days_since_latest_release69
mean_days_between_releases20.4

社区与采用

项目是否拥有用户、下载量与关注度，并具备欢迎贡献者参与的配置？

37薄弱 · 占总体的 17%

流行度与采用

1危急
评分方式
0/60星标 — 2 个星标
0/25复刻 — 0 个复刻
0/15关注者 — 0 位关注者
所用输入
forks0
stars2
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

85优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证（Apache-2.0）
18/18CONTRIBUTING 指南
13.5/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme是
has_license是
readme_badges31
has_contributing是
has_issue_template否
has_code_of_conduct是
readme_badge_servicesgithub.com, shields.io
has_pull_request_template否

生态采用（下载量）

29存在风险
评分方式
23.4/80月度下载量 — pypi 合计每月 56 次下载
0/20注册表被依赖数 — 该生态系统不报告此项
所用输入
packagesproteomics, proteomics-lab, proteomics-core, agentic-proteins, bijux-proteomics, proteomics-runtime, bijux-proteomics-lab
dependents—
ecosystemspypi
total_downloads—
monthly_downloads56
unverified_packages_excluded—
已排除计分（无数据或不适用）：注册表被依赖数。 其余权重已重新归一化。

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持，以及软件包的维护状况？

38薄弱 · 占总体的 23%

维护者韧性（巴士系数）

10危急
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
0/22.5提交分布 — 头号贡献者编写了 100% 的提交
1.4/13.5贡献者广度 — 1 位贡献者
0/10OpenSSF Scorecard：Contributors — project has 0 contributing companies or organizations -- score normalized to 0
所用输入
bus_factor1
contributors_sampled1
top_contributor_share1

议题与 PR 响应能力

29存在风险
评分方式
0/42议题解决 — 没有议题或无数据
13.1/30PR 接受 — 已裁定的 PR 中 98/225 已合并
0/13Newcomer PR acceptance — 30 天内没有首次贡献者的 PR 得到裁决
0/15OpenSSF Scorecard：Code-Review — Found 0/3 approved changesets -- score normalized to 0
所用输入
merged_prs98
open_issues0
closed_issues0
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio—
closed_unmerged_prs127
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
已排除计分（无数据或不适用）：议题解决, Newcomer PR acceptance。 其余权重已重新归一化。

所有权与托管责任

31存在风险
评分方式
10/30所有权背书 — 个人（用户）账户
0/20已验证域名 — 不适用于个人账户
4.3/25所有者影响力 — bijux 有 3 位关注者
10.6/25既往记录 — 13 个公开仓库，账户约 1 年
所用输入
followers3
owner_typeUser
is_verified—
owner_loginbijux
public_repos13
account_age_days412
已排除计分（无数据或不适用）：已验证域名。 其余权重已重新归一化。

软件包维护

100卓越
评分方式
25/25已发布且可解析 — pypi 上有 7 个软件包
35/35发布时效 — 最近一次发布于 69 天前
20/20版本历史 — 13 个已发布版本
20/20未被弃用 — 活跃，未被弃用或撤回
所用输入
packagesproteomics, proteomics-lab, proteomics-core, agentic-proteins, bijux-proteomics, proteomics-runtime, bijux-proteomics-lab
ecosystemspypi
any_deprecated否
min_days_since_publish69

工程质量

基础的工程与文档实践是否到位？

82优秀 · 占总体的 19%

工程实践

84优秀
评分方式
24/24CI 工作流 — 11 个工作流
24/24存在测试
16/16Linter 配置 — ruff.toml, tox.ini
0/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci是
has_tests是
has_editorconfig否
has_linter_config是
has_precommit_config否

文档

80优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — http://bijux.io/bijux-proteomics/
0/10仓库描述
0/10主题标签
10/10Wiki
所用输入
topics—
has_wiki是
homepagehttp://bijux.io/bijux-proteomics/
docs_sitehttp://bijux.io/bijux-proteomics/
has_readme是
has_docs_dir是
has_description否

安全

可见的安全与供应链实践是否稳固，且不存在未解决的高风险司法辖区暴露？

62中等 · 占总体的 16%

安全态势

53中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
3/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/3 approved changesets -- score normalized to 0
0/2.5Contributors — project has 0 contributing companies or organizations -- score normalized to 0
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 26 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate5.3

依赖安全公告

100卓越
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages12
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分（无数据或不适用）：没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:bijux-proteomics@0.3.8 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 12 个软件包。 未对可达性进行分析。

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？权重刻意设小（4%）：代理工具链是一项真实的维护信号，但完全不具备的仓库仍可达到 100/100。

65良好 · 占总体的 4%

AI 代理上下文与指引

40薄弱
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档（llms.txt）
40/40可读的提交历史 — 100 次人类提交中有 100 次说明了意图（结构化标题或解释性正文）
所用输入
has_llms_txt否
llms_txt_url—
legible_history_share1
agent_instruction_files—
agent_instruction_max_bytes—

验证循环（构建 / 测试 / 类型检查）

87优秀
评分方式
18/18一条命令的引导启动 — Makefile
22/22自动化测试
11/11Lint / 格式化配置 — ruff.toml, tox.ini
11/11静态类型检查 — configs/mypy.ini, packages/agentic-proteins/src/agentic_proteins/py.typed, packages/bijux-proteomics-core/src/bijux_proteomics/py.typed, packages/bijux-proteomics-dev/src/bijux_proteomics_dev/py.typed, packages/bijux-proteomics-foundation/src/bijux_proteomics_foundation/py.typed, packages/bijux-proteomics-intelligence/src/bijux_proteomics_intelligence/py.typed, packages/bijux-proteomics-knowledge/src/bijux_proteomics_knowledge/py.typed, packages/bijux-proteomics-lab/src/bijux_proteomics_lab/py.typed, packages/bijux-proteomics-runtime/src/bijux_proteomics_runtime/py.typed, packages/bijux-proteomics/src/bijux_proteomics_alias/py.typed, packages/proteomics-core/src/proteomics_core/py.typed, packages/proteomics-foundation/src/proteomics_foundation/py.typed, packages/proteomics-intelligence/src/proteomics_intelligence/py.typed, packages/proteomics-knowledge/src/proteomics_knowledge/py.typed, packages/proteomics-lab/src/proteomics_lab/py.typed, packages/proteomics-runtime/src/proteomics_runtime/py.typed, packages/proteomics/src/proteomics/py.typed
10/10可复现环境 — lockfile
0/10已体现的代理实践 — 最近 100 次提交中没有代理编写的提交
5/8自动化维护 — 已配置依赖自动化，但在抽样提交中未观察到
10/10OpenSSF Scorecard：Pinned-Dependencies — all dependencies are pinned
所用输入
has_nix否
has_tests是
lockfilespackage-lock.json, uv.lock
has_dockerfile否
typed_language否
bootstrap_filesMakefile
has_devcontainer否
has_linter_config是
typecheck_configsconfigs/mypy.ini, packages/agentic-proteins/src/agentic_proteins/py.typed, packages/bijux-proteomics-core/src/bijux_proteomics/py.typed, packages/bijux-proteomics-dev/src/bijux_proteomics_dev/py.typed, packages/bijux-proteomics-foundation/src/bijux_proteomics_foundation/py.typed, packages/bijux-proteomics-intelligence/src/bijux_proteomics_intelligence/py.typed, packages/bijux-proteomics-knowledge/src/bijux_proteomics_knowledge/py.typed, packages/bijux-proteomics-lab/src/bijux_proteomics_lab/py.typed, packages/bijux-proteomics-runtime/src/bijux_proteomics_runtime/py.typed, packages/bijux-proteomics/src/bijux_proteomics_alias/py.typed, packages/proteomics-core/src/proteomics_core/py.typed, packages/proteomics-foundation/src/proteomics_foundation/py.typed, packages/proteomics-intelligence/src/proteomics_intelligence/py.typed, packages/proteomics-knowledge/src/proteomics_knowledge/py.typed, packages/proteomics-lab/src/proteomics_lab/py.typed, packages/proteomics-runtime/src/proteomics_runtime/py.typed, packages/proteomics/src/proteomics/py.typed
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

面向模型的代码可读性

82优秀
评分方式
27/45可类型检查的代码 — Python，已配置类型检查（configs/mypy.ini, packages/agentic-proteins/src/agentic_proteins/py.typed, packages/bijux-proteomics-core/src/bijux_proteomics/py.typed, packages/bijux-proteomics-dev/src/bijux_proteomics_dev/py.typed, packages/bijux-proteomics-foundation/src/bijux_proteomics_foundation/py.typed, packages/bijux-proteomics-intelligence/src/bijux_proteomics_intelligence/py.typed, packages/bijux-proteomics-knowledge/src/bijux_proteomics_knowledge/py.typed, packages/bijux-proteomics-lab/src/bijux_proteomics_lab/py.typed, packages/bijux-proteomics-runtime/src/bijux_proteomics_runtime/py.typed, packages/bijux-proteomics/src/bijux_proteomics_alias/py.typed, packages/proteomics-core/src/proteomics_core/py.typed, packages/proteomics-foundation/src/proteomics_foundation/py.typed, packages/proteomics-intelligence/src/proteomics_intelligence/py.typed, packages/proteomics-knowledge/src/proteomics_knowledge/py.typed, packages/proteomics-lab/src/proteomics_lab/py.typed, packages/proteomics-runtime/src/proteomics_runtime/py.typed, packages/proteomics/src/proteomics/py.typed）
54.8/55可控的文件大小 — 采样的 3,669 个源文件中有 12 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes576,731
source_files_sampled3,669
oversized_source_files12

机器可读接口

40薄弱
评分方式
0/40API 模式（OpenAPI/GraphQL/proto）
0/20MCP 服务器
40/40可运行示例 — examples
所用输入
example_dirsexamples
has_mcp_signal否
api_schema_files—
interfaces_expected_ofnetwork-service

关键数据

2GitHub 星标
1贡献者
7,134最近 12 个月提交数
4距最近推送天数
5发布版本数
1巴士系数（bus factor）
0开放议题
npm, PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'bijux-proteomics-repository' from its registry
  • pypi download statistics for 'agentic-proteins' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'bijux-proteomics' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • pypi download statistics for 'proteomics-runtime' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced
  • Could not fetch pypi package 'bijux-proteomics-dev' from its registry
  • pypi download statistics for 'bijux-proteomics-lab' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

更多细节

OpenSSF Scorecard 5.3 / 10
5.3综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身，而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用，并从安全评分中剔除（绝不按零分计）。Scorecard v5.5.0 · 2026-09-08 15:27 UTC

10Binary-Artifactsno binaries found in the repo
4Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/3 approved changesets -- score normalized to 0
0Contributorsproject has 0 contributing companies or organizations -- score normalized to 0
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities26 existing vulnerabilities detected
直接依赖 59
注册表软件包版本约束清单文件
PyPIbijux-proteomics-core>=0.3.8,<0.4.0packages/agentic-proteins/pyproject.toml
PyPIbijux-proteomics-runtime>=0.3.8,<0.4.0packages/agentic-proteins/pyproject.toml
PyPIclick>=8.1packages/bijux-proteomics-core/pyproject.toml
PyPIpydantic>=2.0.2packages/bijux-proteomics-core/pyproject.toml
PyPInumpy>=1.26,<3.0packages/bijux-proteomics-core/pyproject.toml
PyPIbiopython>=1.83packages/bijux-proteomics-core/pyproject.toml
PyPIdefusedxml>=0.7.1,<1.0packages/bijux-proteomics-core/pyproject.toml
PyPIloguru>=0.7packages/bijux-proteomics-core/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8packages/bijux-proteomics-core/pyproject.toml
PyPIagentic-proteins>=0.3.8packages/bijux-proteomics-dev/pyproject.toml
PyPIbiopython>=1.85,<2.0packages/bijux-proteomics-dev/pyproject.toml
PyPIhuggingface-hub>=0.24,<2.0packages/bijux-proteomics-dev/pyproject.toml
PyPIidna>=3.15,<4.0packages/bijux-proteomics-dev/pyproject.toml
PyPIpackaging>=24.0,<27.0packages/bijux-proteomics-dev/pyproject.toml
PyPIPyYAML>=6.0,<7.0packages/bijux-proteomics-dev/pyproject.toml
PyPIrequests>=2.32,<3.0packages/bijux-proteomics-dev/pyproject.toml
PyPIurllib3>=2.7.0,<3.0packages/bijux-proteomics-dev/pyproject.toml
PyPIpydantic>=2.0.2packages/bijux-proteomics-foundation/pyproject.toml
PyPIpydantic>=2.0.2packages/bijux-proteomics-intelligence/pyproject.toml
PyPInumpy>=1.26,<3.0packages/bijux-proteomics-intelligence/pyproject.toml
PyPIloguru>=0.7packages/bijux-proteomics-intelligence/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8packages/bijux-proteomics-intelligence/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8packages/bijux-proteomics-intelligence/pyproject.toml
PyPIbijux-proteomics-knowledge>=0.3.8packages/bijux-proteomics-intelligence/pyproject.toml
PyPIpydantic>=2.0.2packages/bijux-proteomics-knowledge/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8packages/bijux-proteomics-knowledge/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8packages/bijux-proteomics-knowledge/pyproject.toml
PyPIpydantic>=2.0.2packages/bijux-proteomics-lab/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8packages/bijux-proteomics-lab/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8packages/bijux-proteomics-lab/pyproject.toml
PyPIbijux-proteomics-knowledge>=0.3.8packages/bijux-proteomics-lab/pyproject.toml
PyPIrequests>=2.31packages/bijux-proteomics-runtime/pyproject.toml
PyPIbiopython>=1.83packages/bijux-proteomics-runtime/pyproject.toml
PyPIclick>=8.1packages/bijux-proteomics-runtime/pyproject.toml
PyPIfastapi>=0.115packages/bijux-proteomics-runtime/pyproject.toml
PyPIstarlette>=1.3.1,<2.0packages/bijux-proteomics-runtime/pyproject.toml
PyPIuvicorn>=0.30packages/bijux-proteomics-runtime/pyproject.toml
PyPIpydantic>=2.0.2packages/bijux-proteomics-runtime/pyproject.toml
PyPIloguru>=0.7packages/bijux-proteomics-runtime/pyproject.toml
PyPIslowapi>=0.1packages/bijux-proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8packages/bijux-proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8packages/bijux-proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-knowledge>=0.3.8packages/bijux-proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-intelligence>=0.3.8packages/bijux-proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-lab>=0.3.8packages/bijux-proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8,<0.4.0packages/bijux-proteomics/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics-core/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8,<0.4.0packages/proteomics-core/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics-foundation/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics-intelligence/pyproject.toml
PyPIbijux-proteomics-intelligence>=0.3.8,<0.4.0packages/proteomics-intelligence/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics-knowledge/pyproject.toml
PyPIbijux-proteomics-knowledge>=0.3.8,<0.4.0packages/proteomics-knowledge/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics-lab/pyproject.toml
PyPIbijux-proteomics-lab>=0.3.8,<0.4.0packages/proteomics-lab/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-runtime>=0.3.8,<0.4.0packages/proteomics-runtime/pyproject.toml
PyPIbijux-proteomics-foundation>=0.3.8,<0.4.0packages/proteomics/pyproject.toml
PyPIbijux-proteomics-core>=0.3.8,<0.4.0packages/proteomics/pyproject.toml
全部依赖 447

来自 GitHub 依赖图的完整解析依赖集合：40 个直接依赖与 407 个间接（传递）软件包。仓库提交锁文件时，传递闭包才是完整的。

注册表软件包版本关系
PyPIagentic-proteins—直接
PyPIbijux-proteomics-core—直接
PyPIbijux-proteomics-foundation—直接
PyPIbijux-proteomics-intelligence—直接
PyPIbijux-proteomics-knowledge—直接
PyPIbijux-proteomics-lab—直接
PyPIbijux-proteomics-runtime—直接
PyPIbiopython—直接
PyPIbiopython1.87直接
PyPIclick—直接
PyPIclick8.3.2直接
PyPIdefusedxml—直接
PyPIdefusedxml0.7.1直接
PyPIfastapi—直接
PyPIfastapi0.135.3直接
PyPIhuggingface-hub—直接
PyPIhuggingface-hub1.11.0直接
PyPIidna—直接
PyPIidna3.18直接
PyPIloguru—直接
PyPIloguru0.7.3直接
PyPInumpy—直接
PyPInumpy1.26.4直接
PyPInumpy2.4.4直接
PyPIpackaging—直接
PyPIpackaging25.0直接
PyPIpydantic—直接
PyPIpydantic2.12.5直接
PyPIpyyaml—直接
PyPIpyyaml6.0.3直接
PyPIrequests—直接
PyPIrequests2.33.1直接
PyPIslowapi—直接
PyPIslowapi0.1.9直接
PyPIstarlette—直接
PyPIstarlette1.3.1直接
PyPIurllib3—直接
PyPIurllib32.7.0直接
PyPIuvicorn—直接
PyPIuvicorn0.44.0直接
npm@borewit/text-codec0.2.2间接
npm@inquirer/core6.0.0间接
npm@inquirer/select1.3.3间接
npm@inquirer/type1.5.5间接
npm@lukeed/csprng1.1.0间接
npm@nestjs/axios4.0.1间接
npm@nestjs/common11.1.28间接
npm@nestjs/core11.1.28间接
npm@nuxtjs/opencollective0.3.2间接
npm@openapitools/openapi-generator-cli2.40.1间接
npm@redocly/cli2.41.0间接
npm@tokenizer/inflate0.4.1间接
npm@tokenizer/token0.3.0间接
npm@types/mute-stream0.0.4间接
npm@types/node20.19.39间接
npm@types/node25.5.2间接
npm@types/wrap-ansi3.0.0间接
npmagent-base6.0.2间接
npmagent-base9.0.0间接
npmansi-escapes4.3.2间接
npmansi-regex5.0.1间接
npmansi-regex6.2.2间接
npmansi-styles4.3.0间接
npmansi-styles6.2.3间接
npmast-types0.13.4间接
npmasynckit0.4.0间接
npmaxios1.18.1间接
npmbalanced-match4.0.4间接
npmbasic-ftp5.3.1间接
npmbrace-expansion5.0.8间接
npmcall-bind-apply-helpers1.0.2间接
npmchalk4.1.2间接
npmchalk5.6.2间接
npmcli-spinners2.9.2间接
npmcli-width4.1.0间接
npmcliui9.0.1间接
npmclone1.0.4间接
npmcolor-convert2.0.1间接
npmcolor-name1.1.4间接
npmcombined-stream1.0.8间接
npmcommander8.3.0间接
npmcompare-versions6.1.1间接
npmconcurrently10.0.3间接
npmconsola2.15.3间接
npmconsole.table0.10.0间接
npmdata-uri-to-buffer8.0.0间接
npmdebug4.4.3间接
npmdefaults1.0.4间接
npmdegenerator7.0.1间接
npmdelayed-stream1.0.0间接
npmdunder-proto1.0.1间接
npmeasy-table1.1.0间接
npmemoji-regex10.6.0间接
npmemoji-regex8.0.0间接
npmes-define-property1.0.1间接
npmes-errors1.3.0间接
npmes-object-atoms1.1.1间接
npmes-set-tostringtag2.1.0间接
npmescalade3.2.0间接
npmescape-string-regexp1.0.5间接
npmescodegen2.1.0间接
npmesprima4.0.1间接
npmestraverse5.3.0间接
npmesutils2.0.3间接
npmfast-safe-stringify2.1.1间接
npmfigures3.2.0间接
npmfile-type21.3.4间接
npmfollow-redirects1.16.0间接
npmform-data4.0.6间接
npmfs-extra11.4.0间接
npmfunction-bind1.1.2间接
npmget-caller-file2.0.5间接
npmget-east-asian-width1.6.0间接
npmget-intrinsic1.3.0间接
npmget-proto1.0.1间接
npmget-uri8.0.1间接
npmglob13.0.6间接
npmgopd1.2.0间接
npmgraceful-fs4.2.11间接
npmhas-flag4.0.0间接
npmhas-symbols1.1.0间接
npmhas-tostringtag1.0.2间接
npmhasown2.0.4间接
npmhttp-proxy-agent9.1.0间接
npmhttps-proxy-agent5.0.1间接
npmhttps-proxy-agent9.1.0间接
npmieee7541.2.1间接
npmip-address10.2.0间接
npmis-fullwidth-code-point3.0.0间接
npmiterare1.2.1间接
npmjsonfile6.2.1间接
npmload-esm1.0.3间接
npmlru-cache11.2.7间接
npmlru-cache7.18.3间接
npmmath-intrinsics1.1.0间接
npmmime-db1.52.0间接
npmmime-types2.1.35间接
npmminimatch10.2.5间接
npmminipass7.1.3间接
npmms2.1.3间接
npmmute-stream1.0.0间接
npmnetmask2.1.1间接
npmnode-fetch2.7.0间接
npmpac-proxy-agent9.1.0间接
npmpac-resolver9.0.1间接
npmpath-scurry2.0.2间接
npmpath-to-regexp8.4.2间接
npmproxy-agent8.0.2间接
npmproxy-agent-negotiate1.1.0间接
npmproxy-from-env2.1.0间接
npmquickjs-wasi2.2.0间接
npmreflect-metadata0.2.2间接
npmrun-async3.0.0间接
npmrxjs7.8.2间接
npmshell-quote1.10.0间接
npmsignal-exit4.1.0间接
npmsmart-buffer4.2.0间接
npmsocks2.8.9间接
npmsocks-proxy-agent10.1.0间接
npmsource-map0.6.1间接
npmstring-width4.2.3间接
npmstring-width7.2.0间接
npmstrip-ansi6.0.1间接
npmstrip-ansi7.2.0间接
npmstrtok310.3.5间接
npmsupports-color10.2.2间接
npmsupports-color7.2.0间接
npmtoken-types6.1.2间接
npmtr460.0.3间接
npmtree-kill1.2.2间接
npmtslib2.8.1间接
npmtype-fest0.21.3间接
npmuid2.0.2间接
npmuint8array-extras1.5.0间接
npmundici-types6.21.0间接
npmundici-types7.18.2间接
npmuniversalify2.0.1间接
npmwcwidth1.0.1间接
npmwebidl-conversions3.0.1间接
npmwhatwg-url5.0.0间接
npmwrap-ansi6.2.0间接
npmwrap-ansi9.0.2间接
npmy18n5.0.8间接
npmyargs18.0.0间接
npmyargs-parser22.0.0间接
PyPIaiohappyeyeballs2.6.1间接
PyPIaiohttp3.14.1间接
PyPIaiosignal1.4.0间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.13.0间接
PyPIarq0.27.0间接
PyPIast-serialize0.3.0间接
PyPIasync-timeout5.0.1间接
PyPIattrs26.1.0间接
PyPIbabel2.18.0间接
PyPIbackports-tarfile1.2.0间接
PyPIbackports-zstd1.3.0间接
PyPIbackrefs6.2间接
PyPIbandit—间接
PyPIbandit1.9.4间接
PyPIboolean-py5.0间接
PyPIbuild—间接
PyPIbuild1.4.2间接
PyPIcachecontrol0.14.4间接
PyPIcertifi2026.2.25间接
PyPIcffi2.0.0间接
PyPIchardet7.4.1间接
PyPIcharset-normalizer3.4.7间接
PyPIcodespell—间接
PyPIcodespell2.4.2间接
PyPIcolorama0.4.6间接
PyPIcoverage7.13.5间接
PyPIcryptography49.0.0间接
PyPIcyclonedx-python-lib11.7.0间接
PyPIdataclasses-json0.6.7间接
PyPIdeprecated1.3.1间接
PyPIdeptry—间接
PyPIdeptry0.25.1间接
PyPIdistlib0.4.0间接
PyPIdistro1.9.0间接
PyPIdocutils0.22.4间接
PyPIeinops—间接
PyPIeinops0.8.2间接
PyPIfilelock3.25.2间接
PyPIfrozenlist1.8.0间接
PyPIfsspec2026.3.0间接
PyPIgemmi0.7.5间接
PyPIghp-import2.1.0间接
PyPIgitdb4.0.12间接
PyPIgitpython—间接
PyPIgitpython3.1.55间接
PyPIgreenlet3.4.0间接
PyPIh110.16.0间接
PyPIhatch—间接
PyPIhatch1.16.5间接
PyPIhatch-fancy-pypi-readme—间接
PyPIhatch-vcs—间接
PyPIhatchling—间接
PyPIhatchling1.30.1间接
PyPIhf-xet1.4.3间接
PyPIhiredis3.3.1间接
PyPIhttpcore1.0.9间接
PyPIhttpx—间接
PyPIhttpx0.28.1间接
PyPIhttpx-sse0.4.3间接
PyPIhyperlink21.0.0间接
PyPIhypothesis—间接
PyPIhypothesis6.151.12间接
PyPIhypothesis-jsonschema0.23.1间接
PyPIid1.6.1间接
PyPIimmutabledict4.3.1间接
PyPIimportlab0.8.1间接
PyPIimportlib-metadata9.0.0间接
PyPIiniconfig2.3.0间接
PyPIinterrogate—间接
PyPIinterrogate1.7.0间接
PyPIjaraco-classes3.4.0间接
PyPIjaraco-context6.1.2间接
PyPIjaraco-functools4.4.0间接
PyPIjeepney0.9.0间接
PyPIjinja23.1.6间接
PyPIjsonpatch1.33间接
PyPIjsonpointer3.1.1间接
PyPIjsonschema4.24.1间接
PyPIjsonschema-path0.4.5间接
PyPIjsonschema-specifications2025.9.1间接
PyPIkeyring25.7.0间接
PyPIlangchain-classic1.0.7间接
PyPIlangchain-community—间接
PyPIlangchain-community0.4.1间接
PyPIlangchain-core—间接
PyPIlangchain-core1.4.0间接
PyPIlangchain-huggingface—间接
PyPIlangchain-huggingface1.2.1间接
PyPIlangchain-protocol0.0.15间接
PyPIlangchain-text-splitters—间接
PyPIlangchain-text-splitters1.1.2间接
PyPIlangsmith—间接
PyPIlangsmith0.9.3间接
PyPIlazy-object-proxy1.12.0间接
PyPIlibcst1.8.6间接
PyPIlibrt0.11.0间接
PyPIlicense-expression30.4.4间接
PyPIlimits5.8.0间接
PyPImando0.7.1间接
PyPImarkdown3.10.2间接
PyPImarkdown-it-py4.0.0间接
PyPImarkupsafe3.0.3间接
PyPImarshmallow3.26.2间接
PyPImdurl0.1.2间接
PyPImergedeep1.3.4间接
PyPImkdocs—间接
PyPImkdocs1.6.1间接
PyPImkdocs-autorefs—间接
PyPImkdocs-autorefs1.4.4间接
PyPImkdocs-get-deps0.2.2间接
PyPImkdocs-git-revision-date-localized-plugin—间接
PyPImkdocs-git-revision-date-localized-plugin1.5.1间接
PyPImkdocs-material—间接
PyPImkdocs-material9.7.6间接
PyPImkdocs-material-extensions1.3.1间接
PyPImkdocs-redirects—间接
PyPImkdocs-redirects1.2.3间接
PyPImore-itertools11.0.1间接
PyPImsgpack—间接
PyPImsgpack1.2.1间接
PyPImsgspec0.20.0间接
PyPImultidict6.7.1间接
PyPImypy—间接
PyPImypy2.1.0间接
PyPImypy-extensions1.1.0间接
PyPInetworkx3.6.1间接
PyPInh30.3.4间接
PyPIninja1.13.0间接
PyPInodeenv1.10.0间接
PyPIopenapi-schema-validator0.8.1间接
PyPIopenapi-spec-validator0.8.4间接
PyPIopenprotein-python—间接
PyPIopenprotein-python0.12.1间接
PyPIorjson3.11.8间接
PyPIpackageurl-python0.17.6间接
PyPIpaginate0.5.7间接
PyPIpandas2.3.3间接
PyPIpathable0.5.0间接
PyPIpathspec1.0.4间接
PyPIpexpect4.9.0间接
PyPIpip26.1.2间接
PyPIpip-api0.0.34间接
PyPIpip-audit—间接
PyPIpip-audit2.10.0间接
PyPIpip-requirements-parser32.0.1间接
PyPIplatformdirs4.9.4间接
PyPIpluggy1.6.0间接
PyPIprance25.4.8.0间接
PyPIpropcache0.4.1间接
PyPIproperdocs1.6.7间接
PyPIptyprocess0.7.0间接
PyPIpy1.11.0间接
PyPIpy-cpuinfo9.0.0间接
PyPIpy-serializable2.1.0间接
PyPIpyarrow—间接
PyPIpyarrow24.0.0间接
PyPIpycnite2024.7.31间接
PyPIpycparser3.0间接
PyPIpydantic-core2.41.5间接
PyPIpydantic-settings2.14.2间接
PyPIpydocstyle—间接
PyPIpydocstyle6.3.0间接
PyPIpydot4.0.1间接
PyPIpyfakefs6.1.6间接
PyPIpygments2.20.0间接
PyPIpyjwt2.13.0间接
PyPIpymdown-extensions—间接
PyPIpymdown-extensions11.0间接
PyPIpyparsing3.3.2间接
PyPIpyproject-hooks1.2.0间接
PyPIpyright—间接
PyPIpyright1.1.409间接
PyPIpytest—间接
PyPIpytest9.1.1间接
PyPIpytest-asyncio—间接
PyPIpytest-asyncio1.4.0间接
PyPIpytest-benchmark—间接
PyPIpytest-benchmark5.2.3间接
PyPIpytest-cov—间接
PyPIpytest-cov7.1.0间接
PyPIpytest-mock3.15.1间接
PyPIpytest-rerunfailures13.0间接
PyPIpytest-timeout—间接
PyPIpytest-timeout2.4.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.2.2间接
PyPIpython-dotenv1.2.2间接
PyPIpytype2024.10.11间接
PyPIpytz2026.1.post1间接
PyPIpywin32-ctypes0.2.3间接
PyPIpyyaml-env-tag1.1间接
PyPIpyyaml-ft8.0.0间接
PyPIradon—间接
PyPIradon6.0.1间接
PyPIreadme-renderer44.0间接
PyPIredis5.3.1间接
PyPIreferencing0.37.0间接
PyPIregex2026.4.4间接
PyPIrequests-toolbelt1.0.0间接
PyPIrequirements-parser0.13.0间接
PyPIrfc3339-validator0.1.4间接
PyPIrfc39862.0.0间接
PyPIrich14.3.3间接
PyPIrpds-py0.30.0间接
PyPIruamel-yaml0.19.1间接
PyPIruff—间接
PyPIruff0.15.9间接
PyPIsafetensors0.7.0间接
PyPIsecretstorage3.5.0间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsmmap5.0.3间接
PyPIsniffio1.3.1间接
PyPIsnowballstemmer3.0.1间接
PyPIsortedcontainers2.4.0间接
PyPIsqlalchemy2.0.49间接
PyPIstevedore5.7.0间接
PyPItabulate0.10.0间接
PyPItenacity9.1.4间接
PyPItokenizers—间接
PyPItokenizers0.22.2间接
PyPItoml0.10.2间接
PyPItomli2.4.1间接
PyPItomli-w1.2.0间接
PyPItomlkit0.14.0间接
PyPItorch—间接
PyPItqdm4.67.3间接
PyPItransformers—间接
PyPItransformers5.5.4间接
PyPItrove-classifiers2026.1.14.14间接
PyPItwine6.2.0间接
PyPItyper0.24.1间接
PyPItypes-colorama0.4.15.20260408间接
PyPItypes-defusedxml—间接
PyPItypes-defusedxml0.7.0.20260408间接
PyPItypes-orjson3.6.2间接
PyPItypes-pexpect4.9.0.20260408间接
PyPItypes-psutil6.1.0.20241221间接
PyPItypes-pyyaml—间接
PyPItypes-pyyaml6.0.12.20260408间接
PyPItypes-requests—间接
PyPItypes-requests2.33.0.20260408间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspect0.9.0间接
PyPItyping-inspection0.4.2间接
PyPItzdata2026.1间接
PyPIuserpath1.9.2间接
PyPIuuid-utils0.14.1间接
PyPIuv0.11.24间接
PyPIvirtualenv21.2.0间接
PyPIvulture—间接
PyPIvulture2.16间接
PyPIwatchdog6.0.0间接
PyPIwebsockets16.0间接
PyPIwin32-setctime1.2.0间接
PyPIwrapt2.1.2间接
PyPIxxhash3.6.0间接
PyPIyarl1.23.0间接
PyPIzipp3.23.0间接
PyPIzstandard0.23.0间接
依赖安全公告 0

安装 pypi:bijux-proteomics@0.3.8 会引入 12 个包（直接与传递）：其中 0 个存在已知公告，0 个为直接依赖。

没有已知公告影响已评估的依赖。

公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。

原始 JSON 报告 机器可读

反馈

发现这份报告有不准确之处，或有想法要分享？错误的测量、未识别的工具、建议、疑问——都欢迎提出。每条消息都会被阅读并得到回复。

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相关记录

与 bijux/bijux-proteomics 共享目录标签或生态系统的已检测仓库。 并排阅读 →

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评分是信号，而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计，也不是安全保证。

缺失数据将被剔除并重新归一化权重，绝不按零分计。方法论已版本化并公开：指标 v2.10.0、模式 v0.34.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置： 汇总统计 — PyPI.